With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.

中文翻译：

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基于大数据和智能物联网的企业市场销售影响因素及预测统计

随着经济发展的加快，企业管理面临更加严峻的挑战。基于智能物联网（IoT）的大数据分析对企业管理的发展具有积极作用，可以弥补企业管理的短板。在本文中，我们开发了一种基于智能物联网的大数据处理方法，可以从收集到的数据中挖掘影响公司市场销售的因素。然后，我们提出了一种基于重叠-均值聚类的KNN分类算法。该算法在传统KNN算法的基础上增加了一个训练过程，可以对数据进行准确的分类，大大提高了分类算法的效率。数值分析结果证明了该算法的有效性。